In response to significant disruption, supply chain optimization became sensitive to increasing consumer expectations, unexpected demand fluctuation, and inventory costs. Proactive movement, understanding, and empowerment have fostered the beneficial results of supply chain optimization, cooperation, and operational resilience. These pioneering activities are critical to achieving a paradigm shift in the supply chain, even agility in response to changing demand. However, sophisticated analytics such as artificial intelligence (AI) and blockchain are supposed to overcome these challenges to make smarter decisions on a daily basis. Due to these facts, this study aimed to model AI’s and blockchain’s role in supply chain optimization by conducting a systematic literature review based on the idealized framework of Rejeb et al., (2022) and the SALSA mechanism. In addition, this paradigm-shifting approach will provide fairer views and options for managing forecasting, planning, monitoring, and reporting across the entire supply chain. The emphasis remains on real-time accuracy, easy access, and optimization of operational indicators such as sales, visibility, and end-to-end supply chain operations at all times and from any location. It will be an eye-opening experience to enable stakeholders and partners to communicate information collaboratively, consistently, and efficiently.
PurposeThis paper reviews the role of two significant smart technologies, artificial intelligence (AI) and blockchain technology (BT) in achieving sustainable tourism success. Such changes will maintain consistent tourism growth in the Middle East and North Africa (MENA) region by improving environmental, social and economic sustainability.Design/methodology/approachThis study uses a qualitative approach focusing on AI and blockchain-based adaptations towards sustainability in technology-driven platforms, particularly in the tourism sector. However, this study is conceptualized with Day's (1989) IMRAD (introduction, methods, results and discussion) framework and Hall's (2012) suggestions. This reinforced the structure of this article by the preferred reporting items for systematic reviews and meta-analyses (PRISMA) concept. In addition, the entire study proceeds by way of accentuating the research question.FindingsThe potential of these technologies (AI and blockchain) can internalize a win-win situation for economic prosperity and sustainable conservation of environmental resources. Even though, apathy among potential tourists (of traditional mass tourism) can be revived under sustainable tourism in the region through smart technology. Replacing traditional practices and policies with innovative technologies can reduce the adverse effect on environmental and cultural resources.Originality/valueThis research justifies the potential for AI and blockchain to balance economy-oriented tourism and sustainability-prone technologically advanced tourism as a caustic issue for the MENA region. Indeed, this study has revitalized and transformed the less eventful margins of leading cultural-heritage-based tourism into sustainable profitability with concerns over diversity, socio-economic conditions, economic recession and burgeoning geopolitical instability.
The dairy industry plays a significant role in the global food system, providing essential nutrients for human consumption and creating rural employment. A small-scale dairy can assist a family in maintaining their livelihoods in Bangladesh. However, it is also associated with various environmental and social impacts, making it crucial for achieving sustainability. The triple bottom line of sustainability intends to achieve sustainability through improving productivity, implementing sustainable practices, and incorporating waste management. The dairy industry can continue to provide nutritious diets, ensuring sustainability practices. This research is a follow-up paper of Nasir et al. to find better sustainable results. It considers the triple bottom line of sustainability theory to improve the farm environment by reducing waste, managing resources efficiently, and promoting environmentally friendly practices. This paper is a case study on a dairy farm of 400 cattle in Bangladesh. The system dynamics method and simulation modeling were employed to draw dairy supply chain networks and examine the existing dataset to find better utilization of the dairy waste produced on the farm. Consequently, the simulation model incorporates waste management and value addition concepts to find better resource exploitation for gaining sustainable outcomes. Finally, this paper summarizes the simulation outcomes and articulates possible extensions for achieving further economic, social, and environmental benefits for the industry and surrounding community.
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